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26 February 2010 Spatial data clustering using an improved evolutionary algorithm
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Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75463P (2010) https://doi.org/10.1117/12.855584
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
Abstract
Considering the difficulties for traditional methods in clustering analysis of spatial data, in this paper, a novel spatial data clustering method based on an improved evolutionary algorithm is proposed. It effectively solved the two main problems puzzling many researchers, i.e., 1) difficulty in coping with the local optimum, and 2) sensibility to the center selections of the initial clustering. Empirical evaluation of our method indicates that it has better performance, compared with the other methods in literature.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yiping Tang, Wenxing Long, and Chuan Hu "Spatial data clustering using an improved evolutionary algorithm", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75463P (26 February 2010); https://doi.org/10.1117/12.855584
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